tenoji33 — CS2 Stats

76561199028440193[U:1:1068174465]✓ No bans

4,564Tracked matches52%Win rate2020Tracked since
CSDB Rating7.0 StrongAggressive Rifler
FaceitLevel 10 · 3,650 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGtenoji33FACEITLevel 10 · 3,650 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim91
Positioning52
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY53443Last 10053%Win rateWLWLLLLWWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim9.1
Aggression7.4
Utility4.3
Positioning5.2
Opening Duels3.0
Clutch3.6

Sharp aimerExcellent counter-strafingStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 55% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim9.1
Positioning5.2
Utility4.3
Mechanics9.3
Opening Duels3.2
Win Impact5.6

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time565ms+25ms
first ⅓ avg 540ms → last ⅓ avg 565ms
Headshot accuracy27.5%+2.0%
first ⅓ avg 25.6% → last ⅓ avg 27.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.24Best rating — vertigo 13–0
130Biggest win — vertigo
5Longest win streak
57In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 67% over 9cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB25131252%0.02
dust2B158753%-0.02
ancientA95456%0.01
trainS96367%0.06
cacheC83538%0.02
nukeC83538%-0.01
overpassA85363%0.06
anubisA74357%0.01
inferno41325%-0.00
office43175%0.05
vertigo110100%0.24
alpine1010%0.01
grail110100%0.08

Across the last 100 tracked matches.

Faceit stats

Combat

7,535Matches
52%Win rate
1.25Avg K/D
82.8ADR
54%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage104455%1.2817.1
Ancient57949%1.1716.4
Anubis55853%1.2216.3
Dust240452%1.2116.3
Nuke17650%1.1215.4
Vertigo16550%1.3017.5
Overpass11755%1.2916.6
Inferno6151%1.2015.9

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.9%Headshot accuracy
35.5%Accuracy (enemy spotted)
34.7%Spray accuracy
91.9%Counter-strafing
6.9°Preaim
561msReaction time
28.7%T opening success
55.5%CT opening success
0.48Enemies flashed / flash
4.6%Flash assists
9.52HE damage / grenade
5.59Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.476 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.7071% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust213–80.0729%24 Aug
cache8–13-0.0522%13 Aug
cache13–40.0323%12 Aug
nuke2–13-0.0523%11 Aug
mirage13–160.0425%10 Aug
mirage10–13-0.0828%9 Aug
ancient7–13-0.0622%5 Aug
mirage13–70.0423%28 Jul
dust213–4-0.0316%14 Jul
cache0–60.0771%8 Jul
mirage9–130.0126%7 Jul
cache12–120.0732%7 Jul
cache13–11-0.0132%7 Jul
dust213–40.0226%3 Jul
dust213–7-0.069%1 Jul
dust213–30.0539%16 Jun
mirage1–7-0.0443%14 Jun
dust213–40.0533%1 Jun
inferno6–13-0.0819%24 May
mirage13–10.1140%22 May
dust210–13-0.0622%8 May
cache3–4-0.0614%4 May
mirage13–30.0337%3 May
cache13–80.0742%1 May
cache7–130.0234%30 Apr
train13–50.0626%22 Apr
dust211–13-0.0426%21 Apr
mirage13–7-0.0228%17 Apr
vertigo13–00.2422%11 Apr
ancient5–13-0.037%10 Apr
anubis6–130.0020%6 Apr
mirage11–130.0430%1 Apr
anubis13–11-0.0018%27 Mar
ancient10–130.0127%27 Mar
mirage13–6-0.0112%27 Mar
alpine7–130.0117%25 Mar
anubis2–1-0.0233%14 Mar
inferno9–30.0613%13 Mar
nuke13–10-0.0427%2 Mar
train13–90.1148%26 Feb
ancient13–40.0329%15 Feb
nuke11–13-0.0228%15 Feb
nuke7–130.0236%14 Feb
nuke6–13-0.0528%29 Jan
dust210–13-0.1026%7 Jan
mirage2–13-0.0029%7 Jan
mirage13–60.0333%3 Jan
mirage13–110.0450%25 Dec
office11–130.0245%25 Dec
train13–50.0534%25 Dec
dust23–13-0.0315%21 Dec
nuke19–150.0116%19 Dec
office13–40.0534%1 Dec
overpass7–130.0048%25 Nov
overpass13–110.0517%24 Nov
overpass10–130.0824%24 Nov
train10–130.1143%6 Nov
train9–13-0.0335%2 Nov
mirage13–20.0127%2 Nov
overpass6–13-0.0116%2 Nov
dust213–7-0.0212%2 Nov
inferno9–13-0.0318%25 Oct
mirage13–90.0224%8 Oct
office13–20.0426%3 Oct
office13–80.0741%3 Oct
dust213–90.0030%27 Sept
ancient22–180.0128%27 Sept
mirage11–130.0931%26 Sept
overpass13–20.0856%26 Sept
overpass13–90.0641%26 Sept
ancient13–160.0414%24 Sept
mirage12–120.0228%17 Sept
ancient13–3-0.0022%14 Sept
mirage5–130.0427%13 Sept
ancient13–80.0223%11 Sept
train13–70.1233%10 Sept
train4–13-0.0020%10 Sept
mirage13–10-0.0218%2 Sept
overpass13–50.0920%2 Sept
nuke13–80.0228%2 Sept
dust212–16-0.0320%31 Aug
ancient13–100.0928%28 Aug
nuke7–130.0332%27 Aug
mirage13–5-0.047%26 Aug
mirage12–120.0835%21 Aug
anubis5–130.0231%21 Aug
dust220–22-0.0422%6 Aug
mirage18–22-0.0318%4 Aug
train13–9-0.0127%28 Jul
overpass13–30.0918%28 Jul
inferno10–130.0415%23 Jul
mirage13–6-0.0118%17 Jul
dust26–13-0.0631%12 Jul
grail13–70.0832%8 Jul
train13–10.1138%8 Jul
anubis13–80.0122%5 Jul
anubis13–70.0927%26 Jun
mirage10–130.0225%25 Jun
anubis6–13-0.0120%25 Jun
mirage16–120.0217%24 Jun

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →